Evidence map›Paper›PMID 40851100›Full record

ArticleScientific reports2025

Fear effect on the mobility of individuals in a spatially heterogeneous environment: a delayed diffusive SPIR epidemic model.

Ghilmana Sarmad, Salih Djilali, Soufiane Bentout, Abdessamad Tridane

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ghilmana SarmadDepartment of Mathematical Sciences, United Arab Emirates University, P.O. Box 15551, Al Ain, UAE.
Salih DjilaliDepartment of Mathematics, Faculty of Exact Sciences and Informatics, Hassiba Benbouali University, 02000, Chlef, Algeria. s.djilali@univ-chlef.dz.
Soufiane BentoutDepartment of Mathematics and Informatics, University Ain Temouchent, Belhadj Bouchaib, BP 284 RP, 46000, Ain Témouchent, Algeria.
Abdessamad TridaneDepartment of Mathematical Sciences, United Arab Emirates University, P.O. Box 15551, Al Ain, UAE. a-tridane@uaeu.ac.ae.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the fear of infection is a crucial factor in the progress of the disease in the population. We aim, in this study, to investigate a susceptible-protected-infected-recovered (SPIR) epidemic model with mixed diffusion modeled by local and nonlocal diffusions. These types of diffusion are used to model the fear effect of being infected by the population. The model is shown to be well-posed; the solution exists, is positive, and is unique. The variational expression is obtained to determine threshold role of [Formula: see text], also known as the basic reproduction number. Indeed, for [Formula: see text], we show that the epidemic will extinct, corresponding to the global asymptotic stability of the infection-free equilibrium state. However, when [Formula: see text], the existence of the infection equilibrium state and the uniform persistence of the solution have been proved. The Lyapunov function have been used to show the global asymptotic stability of the infection equilibrium state. Moreover, we compared the obtained results with the classical SIR epidemic model for determining the required protection function for stopping the disease, which can be obtained by reducing [Formula: see text] below one.

Indexed as

Communicable DiseasesEpidemicsEpidemiological ModelsFearBasic Reproduction NumberDisease SusceptibilityHumansModels, BiologicalModels, TheoreticalDelayed epidemic modelDiffusionFear effectNonlocal diffusionprotection

Identifiers

PMID40851100
PMCPMC12375771

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.